Product Decision-Making Information Systems, Real-Time Big Data Analytics, and Deep Learning-enabled Smart Process Planning in Sustainable Industry 4.0
Product Decision-Making Information Systems, Real-Time Big Data Analytics, and Deep Learning-enabled Smart Process Planning in Sustainable Industry 4.0
Author(s): Elisabeth Peters, Tomáš Klieštik, Hussam Musa, Pavol DuranaSubject(s): Business Economy / Management, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: big data analytics; Industry 4.0; smart process planning;deep learning algorithm;
Summary/Abstract: This article presents an empirical study carried out to evaluate and analyze sustainable Industry 4.0. Building our argument by drawing on data collected from Capgemini, Deloitte, McKinsey, MHI, we.CONECT, and World Economic Forum, we performed analyses and made estimates regarding the relationship between product decision-making information systems, real-time big data analytics, and deep learning-enabled smart process planning. Data collected from 4,600 respondents are tested against the research model by using structural equation modeling.
Journal: Journal of Self-Governance and Management Economics
- Issue Year: 8/2020
- Issue No: 3
- Page Range: 16-22
- Page Count: 7
- Language: English
- Content File-PDF
